B-Tree Based Trust Model for Resource Selection in Grid

Varalakshmi, P.; Selvi, S. Thamarai; Ashraf, Anam; Karthick, K.

doi:10.1109/icscn.2007.350735

Cited by 13 publications

(8 citation statements)

References 10 publications

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“…Mirkovic and Reiher [15] "introduced a system that discards packets based on the arrival of packets from an attacker machine rather than DDOS detection to help in mitigating DDOS attack's effects". Varalakshmi et al [23], [29] "discusses the efficiency of DDOS attacks on statistical based filtering in a common context where attackers are smart. It considers different cases such as the dynamic and static property of the attacker and the mitigation".…”

Section: Related Workmentioning

confidence: 99%

“…Recently, several researchers have been worked on DDOS defense systems and lots of novel techniques have been put forward. In DDOS attack there are three major research areas: detection of attack [6], [23], [20], [19], [1], [2], [3], [29] filtering of attack [10], [5] and attack traceback [4]. Packet scoring is one of technique [9] "that gets some attributes from TCP and IP headers and then uses classification algorithm or statistic theorems to analyze packets".…”

Section: Introductionmentioning

confidence: 99%

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Statistical-based filtering system against DDOS attacks in cloud computing

Shamsolmoali

Zareapoor

2014

2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

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A Distributed Denial of Service (DDOS) attack can make huge damages to resources and access of the resources to genuine users. Offered defending system cannot be easily applied in cloud computing due to their relatively low competence and wide storage. In this work we presented statistical technique to detect and filter DDOS attacks. The proposed model requires small storage and ability of fast detection. The obtained results show that our model has the ability to mitigate most of TCP attacks. Detection accuracy and Time consumption were the metrics used to evaluate the performance of our proposed model. From the simulation results, it is visible our algorithms achieve high detection accuracy (97%) with fewer false alarms.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Statistical-based filtering system against DDOS attacks in cloud computing

Shamsolmoali

Zareapoor

2014

2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

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“…Varalakshmil et al [22] have reported a trust model which is based on a reputation of a cloud provider. This model has used intermediate entities and brokers.…”

Section: Trust Models In Grid Computingmentioning

confidence: 99%

“…It has diluted the effects of wrong ratings consequences and giving accurate and quality assessment of cloud services. Zhang et al [22] have proposed a model which works on neutral factors of trusted environment. This model is consistent and trustworthy as it has used the TCCP model which has moved from third party trust to trusted platform of IaaS.…”

Section: Trust Models In Cloud Environmentmentioning

confidence: 99%

Trust Models in Cloud Computing: A Review

Ritu¹,

Randhawa²,

Jain³

2017

IJWMT

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It is common to hear that big or small organizations are moving to cloud computing for its scalability and cost savings. But, how do you decide which cloud provider to trust? Trust is a vital factor, especially for service oriented systems in the area of Information Technology and Security. Several issues have been raised by enterprises and individuals concerning the reliability of the cloud resources. In cloud computing, trust helps the consumer to choose the service of a cloud service provider for storing and processing their sensitive information. In this paper, a methodical literature analysis of trust management and existing trust models is presented to evaluate trust based on various QoS parameters. Key research issues and future research directions in existing literature are also suggested.

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“…Today, with the expansion of service-oriented applications, more and more researchers have realized that trust has become a crucial aspect in service-oriented systems [2][3][4][5][6]. However, the dynamic nature of serviceoriented systems makes trust evaluation a challenging task.…”

Section: Introductionmentioning

confidence: 99%

A Novel Remote Attestation Platform for SOA

Mei

Ren

et al. 2013

Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation

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Abstract-Service-oriented architecture is a design paradigm for the larger-scaled heterogeneous enterprise information systems, and it is the enabling technology for remote and crossorganization e-business transaction. Trust and reputation among the cooperating parties are becoming increasingly vital in this scene, where services from different administration domains are deployed and cooperated. This paper presents a remote attestation platform for SOA. It gives out a complete solution for trust establishing in the SOA enabled IT systems with the supporting of the trusted platform module. The platform provides technique means for the trust management and remote attestation for service composition in the SOA environment.

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B-Tree Based Trust Model for Resource Selection in Grid

Cited by 13 publications

References 10 publications

Statistical-based filtering system against DDOS attacks in cloud computing

Statistical-based filtering system against DDOS attacks in cloud computing

Trust Models in Cloud Computing: A Review

A Novel Remote Attestation Platform for SOA

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